{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:DFCGVCNUQZ2KULDTG6H4V2EJY5","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"01e75812361e3e5b2eef34cd102bfa3731628b673402178ac86e5799d2ec8788","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-07-13T10:37:17Z","title_canon_sha256":"a11c7a42b9d2afcb66c2e0f490f95f3d678c66f643483ab1e94709ff457dc515"},"schema_version":"1.0","source":{"id":"1907.09411","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.09411","created_at":"2026-05-17T23:39:59Z"},{"alias_kind":"arxiv_version","alias_value":"1907.09411v1","created_at":"2026-05-17T23:39:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.09411","created_at":"2026-05-17T23:39:59Z"},{"alias_kind":"pith_short_12","alias_value":"DFCGVCNUQZ2K","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"DFCGVCNUQZ2KULDT","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"DFCGVCNU","created_at":"2026-05-18T12:33:15Z"}],"graph_snapshots":[{"event_id":"sha256:3390380c80c138617e18b1723628e742bc40ff33f9b8b14c5b98995a5b6d263a","target":"graph","created_at":"2026-05-17T23:39:59Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Early and accurately detecting faults in rotating machinery is crucial for operation safety of the modern manufacturing system. In this paper, we proposed a novel Deep fault diagnosis (DFD) method for rotating machinery with scarce labeled samples. DFD tackles the challenging problem by transferring knowledge from shallow models, which is based on the idea that shallow models trained with different hand-crafted features can reveal the latent prior knowledge and diagnostic expertise and have good generalization ability even with scarce labeled samples. DFD can be divided into three phases. Firs","authors_text":"Jing Tian, Jing Zhang, Tao Wen, Xiaobin Xu, Xiaohui Yang, Yong Rao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-07-13T10:37:17Z","title":"Deep Fault Diagnosis for Rotating Machinery with Scarce Labeled Samples"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.09411","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:06ff6878fe668367a364773425806af113596eaa34c1e727aafca5a40b55a381","target":"record","created_at":"2026-05-17T23:39:59Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"01e75812361e3e5b2eef34cd102bfa3731628b673402178ac86e5799d2ec8788","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-07-13T10:37:17Z","title_canon_sha256":"a11c7a42b9d2afcb66c2e0f490f95f3d678c66f643483ab1e94709ff457dc515"},"schema_version":"1.0","source":{"id":"1907.09411","kind":"arxiv","version":1}},"canonical_sha256":"19446a89b48674aa2c73378fcae889c76e3d5b128c9297d761a3f13bd4d7040d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"19446a89b48674aa2c73378fcae889c76e3d5b128c9297d761a3f13bd4d7040d","first_computed_at":"2026-05-17T23:39:59.271140Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:39:59.271140Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EdRshoXzd7Wnd/eZdwD0yh+qCUrjrlYs9mo16KBppr5raz44pj+JuzgxtNpEiiGUnU70kt116U3WJ2QNU3v7Cg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:39:59.271869Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.09411","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:06ff6878fe668367a364773425806af113596eaa34c1e727aafca5a40b55a381","sha256:3390380c80c138617e18b1723628e742bc40ff33f9b8b14c5b98995a5b6d263a"],"state_sha256":"30ec6c69f9fb965c41f763abe9aa8d5faf58e5c95ab3d47e415e0f8eb09448fd"}